A problem solving oriented intelligent tutoring system to improve students' acquisition of basic computer skills
Personalization and intelligent tutor are two key factors in the research on learning environment. Intelligent tutoring system (ITS), which can imitate the human teachers' actions to implement one-to-one personalized teaching to some extent, is an effective tool for training the ability of prob...
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Published in | Computers and education Vol. 81; pp. 102 - 112 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.02.2015
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Subjects | |
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Abstract | Personalization and intelligent tutor are two key factors in the research on learning environment. Intelligent tutoring system (ITS), which can imitate the human teachers' actions to implement one-to-one personalized teaching to some extent, is an effective tool for training the ability of problem solving. This research firstly discusses the concepts and methods of designing problem solving oriented ITS, and then develops the current iTutor based on the extended model of ITS. At last, the research adopts a quasi-experimental design to investigate the effectiveness of iTutor in skills acquisition. The results indicate that students in iTutor group experience better learning effectiveness than those in the control group. iTutor is found to be effective in improving the learning effectiveness of students with low-level prior knowledge.
•We model a problem solving oriented ITS architecture.•We develop iTutor to support skills acquisition in real-life problem situation.•A quasi-experimental was designed to investigate the effectiveness of iTutor.•iTutor can better facilitate skills acquisition.•iTutor can improve the skill learning effect of low-level prior knowledge. |
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AbstractList | Personalization and intelligent tutor are two key factors in the research on learning environment. Intelligent tutoring system (ITS), which can imitate the human teachers' actions to implement one-to-one personalized teaching to some extent, is an effective tool for training the ability of problem solving. This research firstly discusses the concepts and methods of designing problem solving oriented ITS, and then develops the current iTutor based on the extended model of ITS. At last, the research adopts a quasi-experimental design to investigate the effectiveness of iTutor in skills acquisition. The results indicate that students in iTutor group experience better learning effectiveness than those in the control group. iTutor is found to be effective in improving the learning effectiveness of students with low-level prior knowledge. Personalization and intelligent tutor are two key factors in the research on learning environment. Intelligent tutoring system (ITS), which can imitate the human teachers' actions to implement one-to-one personalized teaching to some extent, is an effective tool for training the ability of problem solving. This research firstly discusses the concepts and methods of designing problem solving oriented ITS, and then develops the current iTutor based on the extended model of ITS. At last, the research adopts a quasi-experimental design to investigate the effectiveness of iTutor in skills acquisition. The results indicate that students in iTutor group experience better learning effectiveness than those in the control group. iTutor is found to be effective in improving the learning effectiveness of students with low-level prior knowledge. •We model a problem solving oriented ITS architecture.•We develop iTutor to support skills acquisition in real-life problem situation.•A quasi-experimental was designed to investigate the effectiveness of iTutor.•iTutor can better facilitate skills acquisition.•iTutor can improve the skill learning effect of low-level prior knowledge. |
Author | Wang, Dongqing Ren, Guangjie Han, Hou Xu, Jun Liu, Quanbo Zhan, Zehui |
Author_xml | – sequence: 1 givenname: Dongqing surname: Wang fullname: Wang, Dongqing email: wangdq.scnu@gmail.com organization: College of Educational Information Technology, South China Normal University, Guangzhou 510631, China – sequence: 2 givenname: Hou surname: Han fullname: Han, Hou organization: College of Educational Information Technology, South China Normal University, Guangzhou 510631, China – sequence: 3 givenname: Zehui surname: Zhan fullname: Zhan, Zehui organization: Center of Educational Information Technology, South China Normal University, Guangzhou 510631, China – sequence: 4 givenname: Jun surname: Xu fullname: Xu, Jun email: xujscnu@163.com organization: College of Educational Information Technology, South China Normal University, Guangzhou 510631, China – sequence: 5 givenname: Quanbo surname: Liu fullname: Liu, Quanbo organization: College of Educational Information Technology, South China Normal University, Guangzhou 510631, China – sequence: 6 givenname: Guangjie surname: Ren fullname: Ren, Guangjie organization: College of Educational Information Technology, South China Normal University, Guangzhou 510631, China |
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SubjectTerms | Applications in subject areas Computer simulation Education Improving classroom teaching Intelligent tutoring systems Interactive learning environments Learning Marketing Mathematical models Problem solving Skills Students |
Title | A problem solving oriented intelligent tutoring system to improve students' acquisition of basic computer skills |
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